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The Future Population of India- A Long-range Demographic View |
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The Future
POPULATION
of India
A Long-range Demographic View
Population Foundation of India
Population Reference Bureau
August 2007
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PREFACE
India’s population passed the one billion mark in 2000 and, this year, celebrated its
60th year as an independent country. Its population is likely to pass China’s as the
world’s largest within 20 years. All of this leads quite naturally to the question: how
large might the population of the world’s largest democracy become?
This is the question that the Population Foundation of India and its partner, the
Population Reference Bureau, have addressed in an exercise to project India’s
population for the long term. While no one can predict future events with certitude,
it is possible to examine the consequences of possible future trends in
demographic rates, with the future birth rate a significant factor.
In this publication, two scenarios of India’s future population are offered. Both
assume that fertility will decline continuously to the point where couples average
two children each, the goal of India’s National Population Policy 2000. The
scenarios differ in one respect: one assumes that states with higher current fertility
will decline to the “replacement level” of 2.1 children, a common assumption in
projections. The second assumes that the decline will continue to 1.85 children,
near the level observed in states such as Kerala. The first scenario results in an
India of two billion population while the second falls short of that mark and results
in eventual population decline.
We hope that this exercise forms the basis for useful discussion and
consideration of what challenges might lie ahead and how those challenges might
be addressed.
A. R. Nanda
Executive Director
Population Foundation of India
We are happy to have collaborated with the Population Foundation of India in this
important research. A country’s future population size, its geographic distribution
and its age composition are among its most significant future considerations.
Projecting any country’s population in the long term is an obvious challenge
and one that increases the further one ventures into the future. Yet, in demography,
future developments result from past events. India’s present population is a
consequence of trends in birth and death rates observed in the past. As a result, its
future is partly determined by its age structure, by the number of young people
who will be tomorrow’s parents.
In India, fertility rates have exceptionally wide variation, from an average of
only 1.7 children in Kerala to 4.3 in Bihar. Such a wide range adds additional
uncertainty to any population projection. But, at the same time, it adds to the
importance of evaluating the country’s possible population future. In this exercise,
we have made the fundamental assumption that fertility will continue a smooth
decline to near the two-child average in states where it is now above that level.
Should that assumption prove true, we must also consider the question of how low
future fertility might be.
Is an India of two billion population a possibility? In this exercise, we have
looked at how such an event might come about and have drawn two potential
portraits of India’s population future.
Carl Haub
Senior Demographer
Population Reference Bureau
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Map not to scale
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THE FUTURE POPULATION OF INDIA
A LONG-RANGE DEMOGRAPHIC VIEW
India has made great strides in its official goal to slow population growth since the
inception of its population programme in 1952. In 1950, women in India averaged
about six children each in their lifetimes. Today, that average has dropped to about
three. India stands at a unique point in her population history. Both the potential for a
continuation of a declining population growth rate and the certainty of adding many
hundreds of millions to the population due to population momentum exist side-by-side.
It is now virtually certain that India will be the world’s largest country in population,
surpassing China. At independence, India’s population was 350 million. Today, it
stands at 1.1 billion. But how large might it become? Could India’s population reach
two billion, the only country likely to do so?
The purpose of this exercise is to provide glimpses into India’s long-term
population future, projecting population from 2001 to 2101. Such a period is quite
lengthy, but future population size is a direct result of demographic trends generations
before. While projections for a closer time period are more likely to prove accurate,
long-range consequences are necessarily obscured. Recognizing this fact, two
projection scenarios were prepared for this project in order to provide more than a
single possible outcome. The use of two scenarios also avoids the trap of an odd
number of projections. In that case, one will often be considered the “middle,” and, by
implication, the most reasonable, while the other two possibilities, the higher and lower
projection, will be ignored. A two-projection exercise requires us to consider the
assumptions that underlie each projection more seriously, a process that should
always precede looking at the results.
A second purpose of this exercise is to project India’s population state-by-state,
summing to the national total, so that the consequences of differing future trends in
statewise fertility can be seen. The national average total fertility rate (TFR) hides a
wide spectrum of state-level differences. The TFR, or the average number of children
a woman would have in her lifetime at the birth rate of a given year, currently ranges
from 1.7 in Kerala to 4.3 in Bihar. Low-fertility states such as Kerala and Tamil Nadu
will contribute little to future population growth and are likely to decline in size. It is in
the higher fertility states, such as Bihar, Jharkhand, Madhya Pradesh, Rajasthan,
Uttar Pradesh and others that the story of India’s future population size will be told.
By projecting population statewise, the effect of higher-fertility states on the national
growth rate can be taken into account as they grow larger in comparison to the low-
fertility states..
The Nature of Projections
Population projections are not true forecasts of future population, but scenarios that
result from the assumptions made when they are prepared. Assumptions must be
made about declines in the future birth rate (fertility), improvements in mortality (life
expectancy at birth and infant mortality), and migration into or out of an area. For India,
assumptions made about future fertility trends are of the greatest importance. Mortality
has declined to the point where life expectancy at birth nationwide has risen to 64
years. While mortality is likely to continue to improve, its contribution to future
population size will be less important than fertility.
A fundamental principle for this project was to perform the projections with
consistency of method and clarity for all 35 states and Union territories. Thus, future
fertility trends were projected in the same way for all states, as detailed below. Some
exceptions were necessary in migration assumptions for “city-states,” such as
Chandigarh and Delhi.
The projections were performed using the standard cohort-component method,
i.e., by projecting populations by sex and individual age groups. The FIVFIV projection
program, developed by the Population Council, was utilised.
Base Population
The population of each state used as the starting point, or base population, for the
projections is that of the 2001 Census of India by five year age groups and sex. As in
the majority of developing countries, data by age and sex in India suffer from a number
of deficiencies. For one, large numbers of people do not know their age, females
appear to be undercounted, and young children are under-represented. The youngest
age group, ages 0-4, is undercounted or partially omitted, as can be seen in the
population pyramid for all-India in Figure 1.
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THE FUTURE POPULATION OF INDIA
A LONG-RANGE DEMOGRAPHIC VIEW
The first step in determining the base populations was to conduct an analysis of
the accuracy of age-sex reporting. Having done so, the standard demographic
technique is to “smooth” populations by age, removing as many anomalies as possible
from the published figures. For this and other procedures, the Population Analysis
Spreadsheets (PAS) developed by the U.S. Census Bureau were used. This process
produces a population age structure that more closely resembles the true situation,
but perfection will always remain elusive. The smoothed population of India is shown
in Figure 2.
Kerala and Tamil Nadu, the TFR was assumed to remain constant throughout the
projection period.
Having decided on the target values, it is then necessary to determine the path
that the assumed fertility decline will take. Will it remain at a higher level and decline
suddenly to a lower level? Will it decline only very gradually? As a low value, such as
2.1, is approached will the decline slow? Since the pattern of decline cannot be fully
anticipated, a standard curve used in population projections was employed. The
logistic curve has often been observed to give a useful approximation of how fertility
has declined worldwide. Once decline has begun, it often continues at some steady
pace, slowing as lower values are approached. This pattern has also been observed in
the low fertility states of India.
The U.S. Census Bureau software utilizes the past trend in a state’s fertility
decline pattern to project future decline along the logistic curve. Figures 3 and 4
illustrate this process for two states, Karnataka, a state with relatively low current
fertility, and Uttar Pradesh, a state with relatively higher fertility. The past trend in the
TFR was taken from India’s Sample Registration System (SRS), a data collection
Fertility Assumptions
A key concept in fertility is that of replacement level fertility. This is often referred to as
the “two-child norm.” When couples have but two children, they merely replace
themselves, not increasing the size of successive generations. When this replacement
level is reached, a population will eventually cease growing and enter a “zero-growth”
condition. A TFR of 2.1 is usually specified as the replacement level. This is 2.1 rather
than 2.0 since not all women survive to the end of their childbearing years so that
women who do must compensate and because, worldwide, there are 105 male babies
born for every 100 females, the normal sex ratio at birth.
Two population scenarios, labeled A and B were prepared. These differ in only
one respect, the “target” TFR, used as a final value. Scenario A, the higher of the
two, makes the assumption that 2.1, the classic replacement level fertility value, will
be the final value for states where it is currently above 2.1. In Scenario B, the target
is 1.85 for those states above that value. For states with very low TFRs, such as
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programme virtually unique among developing countries. Since the early 1970s, the
SRS has sampled millions of households each month to inquire about the number of
births and deaths that had occurred. As a result, the SRS is able to produce estimates
of India’s annual birth, death, infant mortality rates and TFRs as well as recurring sets
of life tables. In the case of the TFR, estimates are produced only for bigger states. For
smaller states and Union territories, TFRs were estimated by reverse projection of
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THE FUTURE POPULATION OF INDIA
A LONG-RANGE DEMOGRAPHIC VIEW
smoothed 2001 Census populations and by matching the SRS crude birth rates (births
per 1,000 population), which are produced for smaller states and Union territories.
Sex Ratio at Birth
The sex ratio at birth, or the number of girl babies born per 100 males, has emerged
as a significant issue in India due to the practice of pre-birth sex selection and the
abortion of female fetuses. In recent years, the Indian government at the national and
local level has introduced a variety of incentives and disincentives to curtail this illegal
practice. For the projections, it was assumed that the sex ratio at birth would return to
a global normal value of 95 female births per 100 male births during the first 35 years
of the projection.
Mortality
Life expectancy at birth in India ranged from 57 years in Madhya Pradesh to 74 years
in Kerala in 2002-2004. Similarly, infant mortality ranged from 14 infant deaths per
1,000 live births in Kerala to 76 in Madhya Pradesh in 2005. For the projections, life
expectancy was projected in the same manner as fertility, using a logistic curve and
incorporating Registrar General life tables up to 1999-2003 as input values. Target
values of life expectancy were 85 years for males and 90 years for females, typical
assumptions made in projections worldwide, although there is much debate on the
issue of just how long the human life span may ultimately be. For the projection,
widely-used model life tables, Coale-Demeny Model Life Tables, provided the basis for
projections of mortality. The model life tables themselves are available in four groups,
each with varying levels of infant mortality for the same level of life expectancy. During
the projection process, the selection of a particular group of life tables was matched as
closely as possible to reported SRS infant mortality in each state. For smaller states
and Union territories, life tables were selected from those for the bigger states with
similar mortality levels.
The future impact of HIV/AIDS was not incorporated into the projections due to
the lack of useable information on statewise data such as AIDS death rates which
would be required. Population projections from the National Commission on Population
did incorporate HIV/AIDS at the national level and projected that the country’s
population would be 16 million less with HIV/AIDS than without in 2026. Since those
projections were performed, the National AIDS Control Organisation has lowered its
estimate of HIV prevalence from 0.9 to 0.36 percent of the population ages 15-49.
Users of the PFI/PRB projections may wish to take these factors into account.
Migration
Migration presents particular challenges in a population projection due to its often
unpredictable nature. Net migration figures for states are available from Indian
censuses and these were used as a basis for the projections. It was assumed that
interstate migration would increase slowly in absolute terms from that observed for
1991-2001 from the 2001 Census and then slowly decrease, the latter a common
assumption in projections. Significant adjustments had to be made to the migration
assumptions for Chandigarh and Delhi, which would become impossibly large under
the standard assumption. It was assumed that much migration to these areas would be
diverted to adjacent suburban areas such as Gurgaon in Haryana and Noida in Uttar
Pradesh. In these cases, in-migration into Haryana was increased and out-migration
from Uttar Pradesh decreased. Since the census cannot interview those who have left
India, an adjustment was made to reconcile state-level migration to an assumed
national annual net emigration level of approximately –200,000. State-level migration
is an area which commands considerably more research and analysis.
Results
Population projections are not forecasts, as stated earlier. They are scenarios of future
population size which result from the situation today and the assumptions made
concerning future trends. Nonetheless, projections have value. There are, after all,
some reasonable bounds to expectations. It is expected that fertility in the higher-
fertility states will decline as it has in other states. It is expected that life expectancy at
birth will continue to improve. In the absence of a very sharp and unanticipated shifts
in mortality trends, it is future fertility trends that will determine India’s future
population size.
It is useful to compare the results obtained in this exercise with results obtained by
other organizations. The 2006 National Commission on Population Projections
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THE FUTURE POPULATION OF INDIA
A LONG-RANGE DEMOGRAPHIC VIEW
projected the population of India and bigger states to the year 2026. The 2026
projected population that resulted is 1.40 billion. This can be compared to the Scenario
A population of 1.46 billion and that of Scenario B, 1.45 billion. The United Nations
Population Division (UNPD) also produces a projection of the total population of India
in three variants, low, medium and high. For 2025, these range from 1.37 to 1.55
billion. The UNPD extends their projections to 2050 and those projections range from
1.39 to 1.96 billion compared to Scenario A’s 1.81 and Scenario B’s 1.74 billion in
2050. A summary of the results is given in Table 1 and shown graphically in Figure 5.
Table 1. Projected Population of India, Two Scenarios (millions)
2001
2026
2051
2101
Scenario A
1,029
1,464
1,825
2,181
Scenario B
1,029
1,449
1,751
1,853
Scenario A, with a final TFR of 2.1 for higher fertility states, results in a
population that does, in fact, reach two billion, a milestone that would occur in 2066-
2071. By the end of the projection period, in 2101, four states, today’s Bihar, Madhya
Pradesh, Rajasthan and Uttar Pradesh would account for almost half of the country’s
population. Scenario B, with a final TFR of 1.85, does not reach two billion. Under
Scenario B, growth peaks in 2081-2086, after which it begins a period of population
decrease. Statewise detail is provided in the tables.
It is interesting to note that some states of India may experience a new
phenomenon, population decline. The populations of Kerala and Tamil Nadu would
begin to decline in the 2041-2051 period while those of Andhra Pradesh and West
Bengal would do so around 2061 under Scenario B. A second new development is
substantial future ageing. By 2051, the population ages 65+ would exceed that ages
0-14 by 2041 in Kerala and Tamil Nadu and that of India by 2091 in Scenario A and
2071 in Scenario B.
Which scenario is more likely? Different users will have different opinions as to
the appropriateness of the scenarios as they apply to each state. Some, for example,
may feel Scenario A appropriate for Bihar, but not Uttar Pradesh. Over such a long
period, many different events may influence population trends. States with low fertility
today may become concerned about population ageing and decline and encourage
more births. Such a turnaround may seem unlikely today, yet precisely this has
happened in some countries of Asia which once advocated lower birth rates.
Pressure on the availability of agricultural land may cause accelerated migration to
urban areas and result in faster fertility decline. Perhaps, continuing son preference
will act to keep fertility somewhat higher. And it may simply be that a TFR as low as
2.1 may never be reached in some states. If, for example, fertility declined in Uttar
Pradesh, not to 2.1, but to 2.5, its population in 2101 would reach 653 million, not
480, as in Scenario A. While long-range projections necessarily require long-range
assumptions, their value is that they can quantify the consequences of future
demographic trends that could not otherwise be foreseen.
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PROJECTED POPULATION (000’s), INDIA AND STATES, 2001-2101
Sl India/State/
No Union territory
INDIA
1 Uttar Pradesh
2 Maharashtra
3 Bihar
4 West Bengal
5 Andhra Pradesh
6 Tamil Nadu
7 Madhya Pradesh
8 Rajasthan
9 Karnataka
10 Gujarat
11 Orissa
12 Kerala
13 Jharkhand
14 Assam
15 Punjab
16 Haryana
17 Chhattisgarh
18 NCT of Delhi
19 Jammu & Kashmir
20 Uttarakhand
21 Himachal Pradesh
22 Tripura
23 Meghalaya
24 Manipur
25 Nagaland
26 Goa
27 Arunachal Pradesh
28 Puducherry
29 Chandigarh
30 Mizoram
31 Sikkim
32 Andaman & Nicobar Islands
33 Dadra & Nagar Haveli
34 Daman & Diu
35 Lakshadweep
2001
1,028,591
166,197
96,878
82,997
80,174
76,208
62,401
60,346
56,508
52,850
50,670
36,807
31,840
26,948
26,656
24,357
21,144
20,834
13,850
10,146
8,488
6,078
3,197
2,320
2,167
1,990
1,348
1,093
975
901
889
541
356
221
158
61
2011
1,203,711
203,990
112,361
101,024
90,404
85,601
67,209
72,083
69,323
60,070
59,110
41,147
34,705
32,772
31,077
27,778
25,932
24,415
17,075
11,542
9,941
6,842
3,627
2,885
2,436
2,439
1,559
1,380
1,149
1,146
1,048
647
408
308
208
74
2021
1,380,214
245,039
126,969
122,406
100,150
93,889
70,890
84,051
83,416
66,436
66,794
45,113
36,920
38,727
35,605
30,816
30,555
27,809
20,483
12,919
11,379
7,568
4,072
3,426
2,703
2,798
1,750
1,677
1,313
1,371
1,201
759
454
412
258
88
2031
1,546,158
286,875
140,401
145,305
108,261
100,512
72,983
95,673
97,783
71,790
73,437
48,348
38,184
44,451
39,723
33,276
34,886
30,959
23,442
14,017
12,708
8,169
4,465
3,930
2,910
3,116
1,916
1,975
1,467
1,559
1,337
865
490
534
310
101
2041
1,695,051
326,952
152,292
168,131
114,503
105,515
73,809
106,362
111,697
76,061
78,935
50,847
38,570
49,683
43,277
35,227
38,806
33,763
25,821
14,855
13,928
8,680
4,808
4,372
3,052
3,392
2,061
2,261
1,604
1,710
1,451
968
516
670
362
113
2051
1,823,538
363,862
162,229
190,521
119,189
108,961
73,036
115,995
124,720
79,187
83,315
52,647
37,912
54,447
46,282
36,450
42,100
36,199
27,723
15,458
14,974
9,050
5,088
4,750
3,132
3,579
2,170
2,538
1,717
1,820
1,540
1,062
530
819
411
125
2061
1,930,839
397,156
170,162
211,557
122,339
111,059
70,934
124,385
136,454
81,422
86,770
53,886
36,401
58,507
48,815
37,105
44,876
38,269
29,132
15,770
15,792
9,296
5,294
5,059
3,143
3,696
2,239
2,795
1,803
1,886
1,598
1,143
534
973
456
136
2071
2,018,513
425,969
176,377
230,275
124,426
112,237
67,898
131,625
146,920
83,003
89,562
54,746
34,409
61,788
50,815
37,427
47,214
39,967
30,303
15,910
16,366
9,464
5,434
5,277
3,107
3,743
2,291
3,013
1,869
1,928
1,632
1,210
533
1,130
503
144
2081
2,087,232
449,257
181,448
245,782
125,885
113,006
64,532
137,544
155,594
84,368
91,673
55,309
32,292
64,146
52,322
37,608
49,023
41,260
31,210
15,963
16,761
9,600
5,550
5,427
3,063
3,763
2,332
3,193
1,924
1,957
1,651
1,270
531
1,284
551
152
SCENARIO A
2091
2,141,172
466,994
185,689
258,417
127,279
113,655
61,166
142,223
162,715
85,540
93,449
55,729
30,180
65,718
53,477
37,777
50,641
42,200
32,205
15,997
17,055
9,723
5,661
5,542
3,024
3,748
2,356
3,354
1,965
1,980
1,666
1,328
530
1,430
601
159
2101
2,181,133
479,532
189,348
267,939
128,485
114,168
57,697
145,854
168,328
86,595
95,020
56,010
28,085
66,685
54,271
37,957
52,132
42,866
33,137
15,999
17,275
9,836
5,753
5,638
2,977
3,728
2,366
3,496
1,993
1,998
1,677
1,379
528
1,566
651
165
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INDICES OF GROWTH (2001=100) & SHARE OF ALL INDIA POPULATION, 2001-2101
SCENARIO A
Sl India/State/
No Union territory
Indices of Growth (2001=100)
Share of All India Population
2001 2011 2021 2031 2041 2051 2061 2071 2081 2091 2101 2001 2011 2021 2031 2041 2051 2061 2071 2081 2091 2101
INDIA
100 117 134 150 165 177 188 196 203 208 212 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00
1 Uttar Pradesh
100 123 147 173 197 219 239 256 270 281 289 16.16 16.95 17.75 18.55 19.29 19.95 20.57 21.10 21.52 21.81 21.99
2 Maharashtra
100 116 131 145 157 167 176 182 187 192 195 9.42 9.33 9.20 9.08 8.98 8.90 8.81 8.74 8.69 8.67 8.68
3 Bihar
100 122 147 175 203 230 255 277 296 311 323 8.07 8.39 8.87 9.40 9.92 10.45 10.96 11.41 11.78 12.07 12.28
4 West Bengal
100 113 125 135 143 149 153 155 157 159 160 7.79 7.51 7.26 7.00 6.76 6.54 6.34 6.16 6.03 5.94 5.89
5 Andhra Pradesh
100 112 123 132 138 143 146 147 148 149 150 7.41 7.11 6.80 6.50 6.22 5.98 5.75 5.56 5.41 5.31 5.23
6 Tamil Nadu
100 108 114 117 118 117 114 109 103 98 92 6.07 5.58 5.14 4.72 4.35 4.01 3.67 3.36 3.09 2.86 2.65
7 Madhya Pradesh
100 119 139 159 176 192 206 218 228 236 242 5.87 5.99 6.09 6.19 6.27 6.36 6.44 6.52 6.59 6.64 6.69
8 Rajasthan
100 123 148 173 198 221 241 260 275 288 298 5.49 5.76 6.04 6.32 6.59 6.84 7.07 7.28 7.45 7.60 7.72
9 Karnataka
100 114 126 136 144 150 154 157 160 162 164 5.14 4.99 4.81 4.64 4.49 4.34 4.22 4.11 4.04 4.00 3.97
10 Gujarat
100 117 132 145 156 164 171 177 181 184 188 4.93 4.91 4.84 4.75 4.66 4.57 4.49 4.44 4.39 4.36 4.36
11 Orissa
100 112 123 131 138 143 146 149 150 151 152 3.58 3.42 3.27 3.13 3.00 2.89 2.79 2.71 2.65 2.60 2.57
12 Kerala
100 109 116 120 121 119 114 108 101 95 88 3.10 2.88 2.67 2.47 2.28 2.08 1.89 1.70 1.55 1.41 1.29
13 Jharkhand
100 122 144 165 184 202 217 229 238 244 247 2.62 2.72 2.81 2.87 2.93 2.99 3.03 3.06 3.07 3.07 3.06
14 Assam
100 117 134 149 162 174 183 191 196 201 204 2.59 2.58 2.58 2.57 2.55 2.54 2.53 2.52 2.51 2.50 2.49
15 Punjab
100 114 127 137 145 150 152 154 154 155 156 2.37 2.31 2.23 2.15 2.08 2.00 1.92 1.85 1.80 1.76 1.74
16 Haryana
100 123 145 165 184 199 212 223 232 240 247 2.06 2.15 2.21 2.26 2.29 2.31 2.32 2.34 2.35 2.37 2.39
17 Chhattisgarh
100 117 133 149 162 174 184 192 198 203 206 2.03 2.03 2.01 2.00 1.99 1.99 1.98 1.98 1.98 1.97 1.97
18 NCT of Delhi
100 123 148 169 186 200 210 219 225 233 239 1.35 1.42 1.48 1.52 1.52 1.52 1.51 1.50 1.50 1.50 1.52
19 Jammu & Kashmir
100 114 127 138 146 152 155 157 157 158 158 0.99 0.96 0.94 0.91 0.88 0.85 0.82 0.79 0.76 0.75 0.73
20 Uttarakhand
100 117 134 150 164 176 186 193 197 201 204 0.83 0.83 0.82 0.82 0.82 0.82 0.82 0.81 0.80 0.80 0.79
21 Himachal Pradesh
100 113 125 134 143 149 153 156 158 160 162 0.59 0.57 0.55 0.53 0.51 0.50 0.48 0.47 0.46 0.45 0.45
22 Tripura
100 113 127 140 150 159 166 170 174 177 180 0.31 0.30 0.30 0.29 0.28 0.28 0.27 0.27 0.27 0.26 0.26
23 Meghalaya
100 124 148 169 188 205 218 227 234 239 243 0.23 0.24 0.25 0.25 0.26 0.26 0.26 0.26 0.26 0.26 0.26
24 Manipur
100 112 125 134 141 145 145 143 141 140 137 0.21 0.20 0.20 0.19 0.18 0.17 0.16 0.15 0.15 0.14 0.14
25 Nagaland
100 123 141 157 170 180 186 188 189 188 187 0.19 0.20 0.20 0.20 0.20 0.20 0.19 0.19 0.18 0.18 0.17
26 Goa
100 116 130 142 153 161 166 170 173 175 176 0.13 0.13 0.13 0.12 0.12 0.12 0.12 0.11 0.11 0.11 0.11
27 Arunachal Pradesh
100 126 153 181 207 232 256 276 292 307 320 0.11 0.11 0.12 0.13 0.13 0.14 0.14 0.15 0.15 0.16 0.16
28 Puducherry
100 118 135 150 165 176 185 192 197 202 204 0.09 0.10 0.10 0.09 0.09 0.09 0.09 0.09 0.09 0.09 0.09
29 Chandigarh
100 127 152 173 190 202 209 214 217 220 222 0.09 0.10 0.10 0.10 0.10 0.10 0.10 0.10 0.09 0.09 0.09
30 Mizoram
100 118 135 150 163 173 180 184 186 187 189 0.09 0.09 0.09 0.09 0.09 0.08 0.08 0.08 0.08 0.08 0.08
31 Sikkim
100 120 140 160 179 196 211 224 235 245 255 0.05 0.05 0.05 0.06 0.06 0.06 0.06 0.06 0.06 0.06 0.06
32 Andaman & Nicobar Is. 100 115 128 138 145 149 150 150 149 149 148 0.03 0.03 0.03 0.03 0.03 0.03 0.03 0.03 0.03 0.02 0.02
33 Dadra & Nagar Haveli 100 139 186 242 303 371 440 511 581 647 709 0.02 0.03 0.03 0.03 0.04 0.04 0.05 0.06 0.06 0.07 0.07
34 Daman & Diu
100 132 163 196 229 260 289 318 349 380 412 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.02 0.03 0.03 0.03
35 Lakshadweep
100 121 144 166 185 205 223 236 249 261 270 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01
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2.1 Page 11 |
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TOTAL FERTILITY RATE & LIFE EXPECTANCY AT BIRTH, INDIA AND STATES, 2001-2006 TO 2096-2101
SCENARIO A
Sl India/State/
No Union territory
Total Fertility Rate
Life Expectancy at Birth
2001- 2011- 2021- 2031- 2041- 2051- 2061- 2071- 2081- 2091- 2096- 2001- 2011- 2021- 2031- 2041- 2051- 2061- 2071- 2081- 2091- 2096-
2006 2016 2026 2036 2046 2056 2066 2076 2086 2096 2101 2006 2016 2026 2036 2046 2056 2066 2076 2086 2096 2101
INDIA
3.0 2.7 2.5 2.3 2.2 2.2 2.1 2.1 2.1 2.1 2.1 63.6 66.8 69.8 72.7 75.2 77.4 79.2 80.7 82.0 83.1 83.5
1 Uttar Pradesh
4.3 3.6 3.1 2.7 2.4 2.3 2.2 2.1 2.1 2.1 2.1 60.5 64.2 67.7 71.0 74.0 76.6 78.8 80.7 82.2 83.4 83.9
2 Maharashtra
2.4 2.2 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 67.5 70.4 73.0 75.3 77.4 79.2 80.7 82.0 83.0 83.9 84.3
3 Bihar
4.3 3.7 3.2 2.8 2.6 2.4 2.3 2.2 2.1 2.1 2.1 61.6 65.6 69.3 72.6 75.5 77.9 79.8 81.3 82.5 83.4 83.7
4 West Bengal
2.3 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 65.2 67.9 70.5 72.9 75.1 77.0 78.7 80.2 81.4 82.5 82.9
5 Andhra Pradesh
2.3 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 64.6 67.4 70.2 72.7 75.0 77.0 78.8 80.3 81.6 82.7 83.2
6 Tamil Nadu
1.8 1.8 1.8 1.8 1.8 1.8 1.8 1.8 1.8 1.8 1.8 66.9 70.4 73.4 76.3 78.6 80.6 82.1 83.3 84.3 85.1 85.4
7 Madhya Pradesh
3.6 3.1 2.7 2.4 2.3 2.2 2.1 2.1 2.1 2.1 2.1 58.2 61.5 64.8 68.0 71.0 73.7 76.2 78.3 80.0 81.5 82.1
8 Rajasthan
3.9 3.3 2.9 2.6 2.4 2.3 2.2 2.1 2.1 2.1 2.1 62.4 65.7 68.8 71.7 74.4 76.6 78.5 80.0 81.3 82.4 82.8
9 Karnataka
2.3 2.2 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 65.5 68.0 70.4 72.7 74.7 76.6 78.2 79.7 80.9 82.0 82.5
10 Gujarat
2.7 2.4 2.2 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 64.6 67.6 70.4 73.0 75.4 77.5 79.3 80.8 82.1 83.1 83.6
11 Orissa
2.6 2.3 2.2 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 59.8 63.2 66.5 69.6 72.5 75.1 77.3 79.2 80.8 82.2 82.8
12 Kerala
1.8 1.8 1.8 1.8 1.8 1.8 1.8 1.8 1.8 1.8 1.8 74.7 77.0 78.9 80.6 81.9 83.1 84.0 84.7 85.3 85.7 85.9
13 Jharkhand
3.6 2.9 2.5 2.3 2.2 2.1 2.1 2.1 2.1 2.1 2.1 63.6 67.6 71.3 74.6 77.5 80.0 81.8 83.3 84.5 85.4 85.7
14 Assam
3.0 2.7 2.4 2.3 2.2 2.2 2.1 2.1 2.1 2.1 2.1 59.5 63.3 66.9 70.3 73.4 76.1 78.4 80.3 81.8 83.1 83.6
15 Punjab
2.3 2.2 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 69.3 71.3 73.2 74.9 76.6 78.0 79.3 80.4 81.4 82.3 82.7
16 Haryana
3.0 2.5 2.3 2.2 2.1 2.1 2.1 2.1 2.1 2.1 2.1 66.1 68.4 70.6 72.7 73.7 76.3 78.8 79.3 80.5 81.5 82.0
17 Chhattisgarh
3.3 2.8 2.5 2.3 2.2 2.1 2.1 2.1 2.1 2.1 2.1 59.2 62.5 65.8 69.0 72.0 74.7 77.2 79.3 81.0 82.5 83.1
18 NCT of Delhi
2.2 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 67.5 70.4 73.0 75.3 77.4 79.2 80.7 82.0 83.0 83.9 84.3
19 Jammu & Kashmir
2.5 2.2 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 65.2 67.9 70.5 72.9 75.1 77.0 78.7 80.2 81.4 82.5 82.9
20 Uttarakhand
2.7 2.4 2.2 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 66.9 70.4 73.5 76.3 78.6 80.6 82.1 83.3 84.3 85.1 85.4
21 Himachal Pradesh
2.2 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 67.2 69.8 72.3 74.6 76.6 78.4 79.9 81.2 82.3 83.3 83.7
22 Tripura
2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 66.9 70.4 73.6 76.3 78.6 80.6 82.1 83.3 84.3 85.1 85.4
23 Meghalaya
3.7 2.7 2.3 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 65.5 68.0 70.4 72.7 74.7 76.6 78.2 79.7 80.9 82.0 82.5
24 Manipur
2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.6 2.1 2.1 2.1 71.8 74.0 75.9 77.6 78.9 80.1 81.0 81.7 82.3 82.7 82.9
25 Nagaland
3.2 2.3 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 71.8 74.0 75.9 77.6 78.9 80.1 81.0 81.7 82.3 82.7 82.9
26 Goa
1.7 1.7 1.7 1.7 1.7 1.7 1.7 1.7 1.7 1.7 1.7 72.7 75.0 76.9 78.6 79.9 81.1 82.0 82.7 83.3 83.7 83.9
27 Arunachal Pradesh
3.2 2.4 2.2 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 66.9 70.4 73.6 76.3 78.6 80.6 82.1 83.3 84.3 85.1 85.4
28 Puducherry
1.8 1.8 1.8 1.8 1.8 1.8 1.8 1.8 1.8 1.8 1.8 72.8 75.0 76.9 78.6 79.9 81.1 82.0 82.7 83.3 83.7 83.9
29 Chandigarh
2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 72.7 75.0 76.9 78.5 79.9 81.1 82.0 82.7 83.3 83.7 83.9
30 Mizoram
2.5 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 72.8 75.0 76.9 78.6 79.9 81.1 82.0 82.7 83.3 83.7 83.9
31 Sikkim
2.4 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 68.9 72.4 75.6 78.3 80.6 82.6 84.1 85.3 86.3 87.1 87.4
32 Andaman & Nicobar Is. 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 72.8 75.0 76.9 78.6 79.9 81.1 82.0 82.7 83.3 83.7 83.9
33 Dadra & Nagar Haveli 3.4 3.1 2.8 2.6 2.5 2.4 2.3 2.2 2.2 2.1 2.1 64.7 67.7 70.5 73.1 75.4 77.5 79.3 80.8 82.1 83.1 83.6
34 Daman & Diu
2.5 2.2 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 66.9 70.4 73.5 76.3 78.6 80.6 82.1 83.3 84.3 85.1 85.4
35 Lakshadweep
2.5 2.2 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 2.1 72.8 75.0 76.9 77.8 79.9 81.1 82.0 82.7 83.3 83.7 83.9
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POPULATION AGES 0-14 AND 65+ (PERCENT), INDIA AND STATES
SCENARIO A
Sl India/State/
No Union territory
INDIA
1 Uttar Pradesh
2 Maharashtra
3 Bihar
4 West Bengal
5 Andhra Pradesh
6 Tamil Nadu
7 Madhya Pradesh
8 Rajasthan
9 Karnataka
10 Gujarat
11 Orissa
12 Kerala
13 Jharkhand
14 Assam
15 Punjab
16 Haryana
17 Chhattisgarh
18 NCT of Delhi
19 Jammu & Kashmir
20 Uttarakhand
21 Himachal Pradesh
22 Tripura
23 Meghalaya
24 Manipur
25 Nagaland
26 Goa
27 Arunachal Pradesh
28 Puducherry
29 Chandigarh
30 Mizoram
31 Sikkim
32 A & N Islands
33 D & N Haveli
34 Daman & Diu
35 Lakshadweep
2001
2011
0-14 65+ 0-14 65+
34.3 4.8 30.7 5.2
39.3 4.5 37.1 4.3
30.9 5.4 27.2 5.9
40.7 4.3 37.6 4.3
31.9 4.7 26.8 5.3
31.1 4.8 26.5 5.7
26.8 5.7 22.4 7.2
37.1 4.5 34.3 4.4
38.8 4.3 35.9 4.2
30.7 5.0 26.8 5.6
32.3 4.4 28.1 5.3
32.2 5.3 28.2 5.5
25.8 7.0 21.8 8.8
38.1 3.6 34.7 4.3
36.6 3.8 31.8 3.9
30.3 6.0 25.8 6.4
34.7 4.9 30.4 4.8
35.4 4.5 32.7 4.9
32.5 3.3 25.8 3.8
33.9 4.4 27.9 4.9
35.0 5.0 30.2 5.4
29.9 6.2 25.9 6.3
31.7 5.1 26.2 5.2
41.6 2.9 34.9 3.1
31.8 4.6 25.6 5.6
35.1 3.1 31.1 3.8
24.7 5.2 22.0 6.9
39.8 2.4 33.1 3.3
27.0 5.4 23.9 6.4
29.0 3.3 25.0 4.0
34.6 3.8 28.6 4.7
33.6 3.5 27.4 4.3
29.0 3.2 24.1 4.9
35.3 2.3 33.3 2.9
27.3 3.2 26.5 3.5
34.2 3.7 28.1 5.5
2021
0-14 65+
28.1 6.2
34.2 4.7
24.6 7.1
35.1 4.7
24.0 6.9
23.9 7.2
20.3 9.4
31.1 4.9
32.8 4.8
24.3 7.1
25.0 6.8
25.4 6.6
19.5 11.6
30.8 5.4
28.8 4.8
23.1 7.7
26.7 5.5
29.4 5.7
23.9 5.1
25.4 6.2
26.8 6.4
23.8 7.5
24.1 6.7
29.5 4.0
23.7 7.5
26.7 5.6
20.1 9.3
28.4 4.6
21.5 8.1
23.1 6.3
25.2 9.5
25.2 5.7
22.3 7.7
30.8 3.3
24.2 4.1
25.7 7.4
2031
0-14 65+
25.7 7.9
30.9 5.6
22.4 9.2
32.6 5.9
22.1 9.3
21.8 9.5
18.1 12.9
28.1 6.0
30.0 5.9
22.1 9.4
22.7 9.1
23.0 8.5
17.1 15.8
27.6 6.9
26.0 6.9
20.5 10.2
23.8 7.2
26.5 7.0
21.8 7.9
22.6 8.3
23.9 8.1
21.3 9.7
21.9 9.4
26.0 5.9
21.5 10.6
23.0 8.0
18.2 12.3
25.6 6.6
19.6 11.3
21.4 9.4
22.7 9.2
22.8 8.3
19.9 11.8
29.5 4.5
22.9 5.9
23.3 9.1
2041
0-14 65+
23.7 10.1
27.8 6.8
20.8 12.1
29.4 6.8
20.5 12.1
20.4 12.5
16.9 17.4
25.5 7.5
27.2 7.4
20.9 12.2
21.1 11.7
21.4 11.0
15.7 20.6
24.5 8.7
23.6 9.2
19.4 13.3
22.0 9.5
24.2 8.6
20.0 11.5
20.5 11.1
21.9 10.8
20.1 12.9
20.4 13.0
23.3 7.9
19.5 14.7
21.7 11.5
17.4 16.7
23.1 8.9
18.6 15.1
20.1 13.4
20.7 12.8
21.1 11.9
18.9 16.5
27.8 6.8
21.9 10.5
21.7 11.5
2051
0-14 65+
22.1 12.5
25.1 8.8
19.7 15.3
26.8 8.2
19.8 15.2
19.5 15.7
15.9 22.1
23.4 9.4
24.9 9.3
19.9 15.2
20.0 14.5
20.4 13.7
14.7 25.1
22.2 11.3
22.1 11.6
18.3 16.9
20.5 12.5
22.4 10.6
19.3 15.1
19.5 14.9
20.4 14.4
19.2 16.5
19.6 17.0
21.5 10.8
18.8 19.0
19.7 16.0
16.8 20.2
21.6 11.6
17.8 18.5
19.1 17.8
19.6 16.8
20.2 16.1
18.2 20.6
26.8 8.5
21.1 15.3
20.7 14.4
2061
0-14 65+
20.8 15.1
23.0 11.4
18.9 18.0
24.3 11.0
19.1 18.0
18.9 18.5
15.2 25.4
21.9 11.8
23.0 11.8
19.4 17.6
19.2 17.1
19.5 16.4
14.0 28.1
20.5 14.7
20.7 14.7
17.8 19.6
19.6 15.2
21.0 13.2
18.6 18.7
18.5 18.5
19.2 18.1
18.6 19.2
18.9 20.2
20.3 14.7
18.2 22.0
18.9 19.0
16.5 21.2
20.5 15.4
17.4 19.9
18.6 20.2
18.8 19.9
19.4 19.3
17.8 22.6
25.3 9.6
20.8 15.7
20.0 17.5
2071
0-14 65+
19.9 17.2
21.4 14.3
18.6 19.6
22.6 13.6
18.8 19.6
18.6 20.0
14.9 26.7
20.8 14.4
21.8 14.2
19.1 18.8
18.9 19.0
19.0 18.5
13.8 29.3
19.3 18.0
19.8 17.1
17.9 20.7
19.3 17.3
20.0 16.1
18.5 20.0
18.3 19.9
18.6 20.4
18.5 20.3
18.6 21.1
19.5 17.6
17.9 22.4
18.5 20.9
16.3 21.8
19.7 18.2
17.1 20.9
18.4 21.2
18.4 21.4
19.0 20.3
17.7 22.5
23.9 11.4
20.5 16.8
19.6 18.6
2081
0-14 65+
19.2 19.1
20.2 17.1
18.3 21.0
21.2 15.9
18.6 20.7
18.4 21.2
14.5 28.2
19.9 16.9
20.7 16.5
18.8 20.2
18.6 20.5
18.6 20.3
13.5 30.8
18.6 20.7
19.1 19.2
17.8 21.9
19.0 18.8
19.2 18.6
18.3 20.9
18.2 21.4
18.3 22.0
18.3 21.6
18.3 22.1
19.0 19.3
17.8 23.0
18.0 22.7
16.0 22.9
19.2 19.6
16.8 21.9
18.2 22.0
18.2 22.2
18.7 21.4
17.5 23.4
22.7 13.1
20.2 17.7
19.3 19.7
2091
0-14 65+
18.7 20.8
19.3 19.5
18.1 22.0
20.0 18.4
18.3 21.7
18.2 22.2
14.2 29.2
19.2 18.9
19.8 18.5
18.6 21.1
18.4 21.6
18.3 21.6
13.4 31.5
18.0 22.8
18.6 21.0
17.8 22.3
18.8 19.8
18.7 20.5
18.2 21.9
17.9 22.6
18.0 23.1
18.2 22.3
18.1 23.0
18.7 20.6
17.6 23.9
18.0 22.7
15.7 23.6
18.9 20.9
16.6 22.6
18.1 22.7
18.0 22.9
18.4 22.6
17.4 23.8
21.6 14.9
19.9 18.6
19.0 20.5
2101
0-14 65+
18.3 22.0
18.7 21.4
17.9 22.8
19.3 20.2
18.2 22.3
18.0 22.9
13.9 30.0
18.7 20.5
19.2 20.2
18.4 21.9
18.3 22.4
18.1 22.5
13.3 32.0
17.7 24.1
18.2 22.2
17.9 22.8
18.7 20.6
18.2 21.9
18.1 22.2
17.9 23.1
17.8 23.9
18.1 22.8
17.9 23.6
18.4 21.6
17.5 24.1
17.8 23.4
15.5 24.3
18.6 21.8
16.3 23.4
18.0 23.2
17.9 23.3
18.2 23.3
17.3 24.1
20.7 16.6
19.6 19.5
18.8 21.1
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2.3 Page 13 |
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PROJECTED POPULATION (000’s), INDIA AND STATES, 2001-2101
Sl India/State/
No Union territory
INDIA
1 Uttar Pradesh
2 Maharashtra
3 Bihar
4 West Bengal
5 Andhra Pradesh
6 Tamil Nadu
7 Madhya Pradesh
8 Rajasthan
9 Karnataka
10 Gujarat
11 Orissa
12 Kerala
13 Jharkhand
14 Assam
15 Punjab
16 Haryana
17 Chhattisgarh
18 NCT of Delhi
19 Jammu & Kashmir
20 Uttarakhand
21 Himachal Pradesh
22 Tripura
23 Meghalaya
24 Manipur
25 Nagaland
26 Goa
27 Arunachal Pradesh
28 Puducherry
29 Chandigarh
30 Mizoram
31 Sikkim
32 Andaman & Nicobar Islands
33 Dadra & Nagar Haveli
34 Daman & Diu
35 Lakshadweep
2001
1,028,591
166,197
96,878
82,997
80,174
76,208
62,401
60,346
56,508
52,850
50,670
36,807
31,840
26,948
26,656
24,357
21,144
20,834
13,850
10,146
8,488
6,078
3,197
2,320
2,167
1,990
1,348
1,093
975
901
889
541
356
221
158
61
2011
1,201,029
203,852
112,055
101,024
89,864
85,081
67,209
71,982
69,277
59,877
58,894
41,038
34,705
32,725
31,042
27,651
25,858
24,379
17,057
11,545
9,913
6,809
3,583
2,877
2,407
2,426
1,559
1,375
1,149
1,142
1,040
642
406
308
207
74
2021
1,370,054
244,227
125,769
122,275
98,446
92,321
70,890
83,586
83,162
65,667
66,072
44,702
36,920
38,489
35,434
30,405
30,263
27,658
20,315
12,827
11,262
7,452
3,963
3,386
2,631
2,751
1,750
1,655
1,313
1,346
1,177
743
446
411
256
86
2031
1,522,575
284,240
137,637
144,743
104,870
97,386
72,983
94,453
96,968
70,123
71,856
47,413
38,184
43,837
39,288
32,444
34,221
30,559
22,943
13,775
12,445
7,938
4,273
3,836
2,789
3,020
1,916
1,923
1,467
1,511
1,291
835
475
531
304
98
2041
1,650,817
320,940
147,240
166,555
108,863
100,340
73,809
103,877
109,863
73,067
76,134
49,166
38,570
48,455
42,415
33,805
37,564
32,937
24,920
14,398
13,443
8,292
4,505
4,201
2,866
3,228
2,061
2,169
1,604
1,629
1,375
917
493
661
350
108
2051
1,751,077
352,913
154,277
187,095
110,740
101,247
73,036
111,647
121,327
74,502
78,934
49,962
37,912
52,328
44,784
34,325
40,120
34,762
26,269
14,707
14,199
8,468
4,653
4,477
2,869
3,332
2,170
2,390
1,717
1,698
1,427
986
497
800
391
117
2061
1,821,788
379,052
158,523
205,273
110,614
100,361
70,934
117,598
130,865
74,693
80,462
49,992
36,401
55,249
46,479
34,127
41,946
36,056
27,022
14,681
14,665
8,484
4,708
4,662
2,795
3,351
2,239
2,580
1,803
1,716
1,443
1,037
489
939
426
125
2071
1,864,653
398,764
160,419
220,127
108,962
98,150
67,898
121,768
138,411
73,857
80,942
49,409
34,409
57,101
47,445
33,456
43,139
36,788
27,413
14,408
14,821
8,386
4,677
4,735
2,666
3,287
2,291
2,718
1,869
1,702
1,427
1,069
475
1,074
460
129
2081
1,881,285
411,122
160,462
230,690
106,316
95,199
64,532
124,081
143,525
72,529
80,450
48,359
32,292
57,783
47,702
32,547
43,626
36,974
27,592
13,999
14,742
8,226
4,605
4,730
2,522
3,186
2,332
2,800
1,924
1,669
1,394
1,091
460
1,200
495
132
SCENARIO B
2091
1,876,447
415,939
159,192
237,219
103,442
91,991
61,166
124,706
146,421
70,797
79,360
47,016
30,180
57,452
47,438
31,556
43,774
36,650
27,746
13,530
14,521
8,038
4,528
4,676
2,390
3,045
2,356
2,851
1,965
1,626
1,353
1,107
445
1,312
527
134
2101
1,853,224
414,371
157,047
239,559
100,365
88,642
57,697
123,836
147,262
68,867
77,937
45,472
28,085
56,375
46,673
30,562
43.691
35,970
27,801
13,016
14,202
7,835
4,435
4,599
2,255
2,902
2,366
2,876
1,993
1,579
1,310
1,115
429
1,408
559
135
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INDICES OF GROWTH (2001=100) & SHARE OF ALL INDIA POPULATION, 2001-2101
SCENARIO B
Sl India/State/
No Union territory
Indices of Growth (2001=100)
Share of All India Population
2001 2011 2021 2031 2041 2051 2061 2071 2081 2091 2101 2001 2011 2021 2031 2041 2051 2061 2071 2081 2091 2101
INDIA
100 117 1332 148 160 170 177 181 183 182 180 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00 100.00
1 Uttar Pradesh
100 123 147 171 193 212 228 240 247 250 249 16.16 16.97 1.78 18.67 19.44 20.15 20.81 21.39 21.85 22.17 22.36
2 Maharashtra
100 116 130 142 152 159 164 166 166 164 162 9.42 9.33 0.92 9.04 8.92 8.81 8.70 8.60 8.53 8.48 8.47
3 Bihar
100 122 147 174 201 225 247 265 278 286 289 8.07 8.41 0.89 9.51 10.09 10.68 11.27 11.81 12.26 12.64 12.93
4 West Bengal
100 112 123 131 136 138 138 136 133 129 125 7.79 7.48 0.72 6.89 6.59 6.32 6.07 5.84 5.65 5.51 5.42
5 Andhra Pradesh
100 112 121 128 132 133 132 129 125 121 116 7.41 7.08 0.67 6.40 6.08 5.78 5.51 5.26 5.06 4.90 4.78
6 Tamil Nadu
100 108 114 117 118 117 114 109 103 98 92 6.07 5.60 0.52 4.79 4.47 4.17 3.89 3.64 3.43 3.26 3.11
7 Madhya Pradesh
100 119 139 157 172 185 195 202 206 207 205 5.87 5.99 0.61 6.20 6.29 6.38 6.46 6.53 6.60 6.65 6.68
8 Rajasthan
100 123 147 172 194 215 232 245 254 259 261 5.49 5.77 0.61 6.37 6.66 6.93 7.18 7.42 7.63 7.80 7.95
9 Karnataka
100 113 124 133 138 141 141 140 137 134 130 5.14 4.99 0.48 4.61 4.43 4.25 4.10 3.96 3.86 3.77 3.72
10 Gujarat
100 116 130 142 150 156 159 160 159 157 154 4.93 4.90 0.48 4.72 4.61 4.51 4.42 4.34 4.28 4.23 4.21
11 Orissa
100 111 121 129 134 136 136 134 131 128 124 3.58 3.42 0.33 3.11 2.98 2.85 2.74 2.65 2.57 2.51 2.45
12 Kerala
100 109 116 120 121 119 114 108 101 95 88 3.10 2.89 0.27 2.51 2.34 2.17 2.00 1.85 1.72 1.61 1.52
13 Jharkhand
100 121 143 163 180 194 205 212 214 213 209 2.62 2.72 0.28 2.88 2.94 2.99 3.03 3.06 3.07 3.06 3.04
14 Assam
100 116 133 147 159 168 174 178 179 178 175 2.59 2.58 0.26 2.58 2.57 2.56 2.55 2.54 2.54 2.53 2.52
15 Punjab
100 114 125 133 139 141 140 137 134 130 125 2.37 2.30 0.22 2.13 2.05 1.96 1.87 1.79 1.73 1.68 1.65
16 Haryana
100 122 143 162 178 190 198 204 206 207 207 2.06 2.15 0.22 2.25 2.28 2.29 2.30 2.31 2.32 2.33 2.36
17 Chhattisgarh
100 117 133 147 158 167 173 177 177 176 173 2.03 2.03 0.20 2.01 2.00 1.99 1.98 1.97 1.97 1.95 1.94
18 NCT of Delhi
100 123 147 166 180 190 195 198 199 200 201 1.35 1.42 0.15 1.51 1.51 1.50 1.48 1.47 1.47 1.48 1.50
19 Jammu & Kashmir
100 114 126 136 142 145 145 142 138 133 128 0.99 0.96 0.09 0.90 0.87 0.84 0.81 0.77 0.74 0.72 0.70
20 Uttarakhand
100 117 133 147 158 167 173 175 174 171 167 0.83 0.83 0.08 0.82 0.81 0.81 0.80 0.79 0.78 0.77 0.77
21 Himachal Pradesh
100 112 123 131 136 139 140 138 135 132 129 0.59 0.57 0.05 0.52 0.50 0.48 0.47 0.45 0.44 0.43 0.42
22 Tripura
100 112 124 134 141 146 147 146 144 142 139 0.31 0.30 0.03 0.28 0.27 0.27 0.26 0.25 0.24 0.24 0.24
23 Meghalaya
100 124 146 165 181 193 201 204 204 202 198 0.23 0.24 0.02 0.25 0.25 0.26 0.26 0.25 0.25 0.25 0.25
24 Manipur
100 111 121 129 132 132 129 123 116 110 104 0.21 0.20 0.02 0.18 0.17 0.16 0.15 0.14 0.13 0.13 0.12
25 Nagaland
100 122 138 152 162 167 168 165 160 153 146 0.19 0.20 0.02 0.20 0.20 0.19 0.18 0.18 0.17 0.16 0.16
26 Goa
100 116 130 142 153 161 166 170 173 175 176 0.13 0.13 0.01 0.13 0.12 0.12 0.12 0.12 0.12 0.13 0.13
27 Arunachal Pradesh
100 126 151 176 198 219 236 249 256 261 263 0.11 0.11 0.01 0.13 0.13 0.14 0.14 0.15 0.15 0.15 0.16
28 Puducherry
100 118 135 150 165 176 185 192 197 202 204 0.09 0.10 0.01 0.10 0.10 0.10 0.10 0.10 0.10 0.10 0.11
29 Chandigarh
100 127 149 168 181 188 190 189 185 180 175 0.09 0.10 0.01 0.10 0.10 0.10 0.09 0.09 0.09 0.09 0.09
30 Mizoram
100 117 132 145 155 161 162 161 157 152 147 0.09 0.09 0.01 0.08 0.08 0.08 0.08 0.08 0.07 0.07 0.07
31 Sikkim
100 119 137 154 169 182 192 198 202 205 206 0.05 0.05 0.01 0.05 0.06 0.06 0.06 0.06 0.06 0.06 0.06
32 Andaman & Nicobar Is. 100 114 125 133 138 140 137 133 129 125 121 0.03 0.03 0.00 0.03 0.03 0.03 0.03 0.03 0.02 0.02 0.02
33 Dadra & Nagar Haveli 100 139 186 240 299 362 425 486 543 594 637 0.02 0.03 0.00 0.03 0.04 0.05 0.05 0.06 0.06 0.07 0.08
34 Daman & Diu
100 131 162 192 222 247 270 291 313 334 354 0.02 0.02 0.00 0.02 0.02 0.02 0.02 0.02 0.03 0.03 0.03
35 Lakshadweep
100 121 141 161 177 192 205 211 216 220 221 0.01 0.01 0.00 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01
12
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2.5 Page 15 |
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TOTAL FERTILITY RATE & LIFE EXPECTANCY AT BIRTH, INDIA AND STATES, 2001-2006 TO 2096-2101
SCENARIO B
Sl India/State/
No Union territory
Total Fertility Rate
Life Expectancy at Birth
2001- 2011- 2021- 2031- 2041- 2051- 2061- 2071- 2081- 2091- 2096- 2001- 2011- 2021- 2031- 2041- 2051- 2061- 2071- 2081- 2091- 2096-
2006 2016 2026 2036 2046 2056 2066 2076 2086 2096 2101 2006 2016 2026 2036 2046 2056 2066 2076 2086 2096 2101
INDIA
3.0 2.6 2.4 2.2 2.1 2.0 1.9 1.9 1.9 1.9 1.9 63.6 66.8 69.8 72.7 75.2 77.4 79.2 80.7 82.0 83.1 83.5
1 Uttar Pradesh
4.3 3.6 3.0 2.6 2.3 2.1 2.0 1.9 1.9 1.9 1.9 60.5 64.2 67.7 71.0 74.0 76.6 78.8 80.7 82.2 83.4 83.9
2 Maharashtra
2.4 2.1 2.0 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 67.5 70.4 73.0 75.3 77.4 79.2 80.7 82.0 83.0 83.9 84.3
3 Bihar
4.3 3.7 3.2 2.8 2.5 2.2 2.1 2.0 2.0 1.9 1.9 61.6 65.6 69.3 72.6 75.5 77.9 79.8 81.3 82.5 83.4 83.7
4 West Bengal
2.2 2.0 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 65.2 67.9 70.5 72.9 75.1 77.0 78.7 80.2 81.4 82.5 82.9
5 Andhra Pradesh
2.2 2.0 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 64.6 67.4 70.2 72.7 75.0 77.0 78.8 80.3 81.6 82.7 83.2
6 Tamil Nadu
1.8 1.8 1.8 1.8 1.8 1.8 1.8 1.8 1.8 1.8 1.8 66.9 70.4 73.4 76.3 78.6 80.6 82.1 83.3 84.3 85.1 85.4
7 Madhya Pradesh
3.6 3.0 2.6 2.3 2.1 2.0 1.9 1.8 1.9 1.9 1.9 58.2 61.5 64.8 68.0 71.0 73.7 76.2 78.3 80.0 81.5 82.1
8 Rajasthan
3.9 3.3 2.9 2.5 2.3 2.1 2.0 2.0 1.9 1.9 1.9 62.4 65.7 68.8 71.7 74.4 76.6 78.5 80.0 81.3 82.4 82.8
9 Karnataka
2.3 2.1 2.0 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 65.5 68.0 70.4 72.7 74.7 76.6 78.2 79.7 80.9 82.0 82.5
10 Gujarat
2.6 2.3 2.1 2.0 1.9 1.9 1.9 1.9 1.9 1.9 1.9 64.6 67.6 70.4 73.0 75.4 77.5 79.3 80.8 82.1 83.1 83.6
11 Orissa
2.6 2.3 2.1 2.0 1.9 1.9 1.9 1.9 1.9 1.9 1.9 59.8 63.2 66.5 69.6 72.5 75.1 77.3 79.2 80.8 82.2 82.8
12 Kerala
1.8 1.8 1.8 1.8 1.8 1.8 1.8 1.8 1.8 1.8 1.8 74.7 77.0 78.9 80.6 81.9 83.1 84.0 84.7 85.3 85.7 85.9
13 Jharkhand
3.6 2.9 2.4 2.2 2.0 1.9 1.9 1.9 1.9 1.9 1.9 63.6 67.6 71.3 74.6 77.5 80.0 81.8 83.3 84.5 85.4 85.7
14 Assam
3.0 2.6 2.4 2.2 2.1 2.0 1.9 1.9 1.9 1.9 1.9 59.5 63.3 66.9 70.3 73.4 76.1 78.4 80.3 81.8 83.1 83.6
15 Punjab
2.3 2.0 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 69.3 71.3 73.2 74.9 76.6 78.0 79.3 80.4 81.4 82.3 82.7
16 Haryana
2.9 2.4 2.1 2.0 1.9 1.9 1.9 1.9 1.9 1.9 1.9 66.1 68.4 70.6 72.7 73.7 76.3 78.8 79.3 80.5 81.5 82.0
17 Chhattisgarh
3.3 2.7 2.4 2.1 2.0 1.9 1.9 1.9 1.9 1.9 1.9 59.2 62.5 65.8 69.0 72.0 74.7 77.2 79.3 81.0 82.5 83.1
18 NCT of Delhi
2.2 2.0 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 67.5 70.4 73.0 75.3 77.4 79.2 80.7 82.0 83.0 83.9 84.3
19 Jammu & Kashmir
2.6 2.2 2.0 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 65.2 67.9 70.5 72.9 75.1 77.0 78.7 80.2 81.4 82.5 82.9
20 Uttarakhand
2.7 2.3 2.0 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 66.9 70.4 73.5 76.3 78.6 80.6 82.1 83.3 84.3 85.1 85.4
21 Himachal Pradesh
2.2 2.0 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 67.2 69.8 72.3 74.6 76.6 78.4 79.9 81.2 82.3 83.3 83.7
22 Tripura
2.0 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 66.9 70.4 73.6 76.3 78.6 80.6 82.1 83.3 84.3 85.1 85.4
23 Meghalaya
3.7 2.6 2.1 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 65.5 68.0 70.4 72.7 74.7 76.6 78.2 79.7 80.9 82.0 82.5
24 Manipur
2.0 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 71.8 74.0 75.9 77.6 78.9 80.1 81.0 81.7 82.3 82.7 82.9
25 Nagaland
3.2 2.2 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 71.8 74.0 75.9 77.6 78.9 80.1 81.0 81.7 82.3 82.7 82.9
26 Goa
1.7 1.7 1.7 1.7 1.7 1.7 1.7 1.7 1.7 1.7 1.7 72.7 75.0 76.9 78.6 79.9 81.1 82.0 82.7 83.3 83.7 83.9
27 Arunachal Pradesh
3.1 2.3 2.0 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 66.9 70.4 73.6 76.3 78.6 80.6 82.1 83.3 84.3 85.1 85.4
28 Puducherry
1.8 1.8 1.8 1.8 1.8 1.8 1.8 1.8 1.8 1.8 1.8 72.8 75.0 76.9 78.6 79.9 81.1 82.0 82.7 83.3 83.7 83.9
29 Chandigarh
2.1 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 72.7 75.0 76.9 78.5 79.9 81.1 82.0 82.7 83.3 83.7 83.9
30 Mizoram
2.4 2.0 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 72.8 75.0 76.9 78.6 79.9 81.1 82.0 82.7 83.3 83.7 83.9
31 Sikkim
2.3 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 68.9 72.4 75.6 78.3 80.6 82.6 84.1 85.3 86.3 87.1 87.4
32 Andaman & Nicobar Is. 2.0 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 72.8 75.0 76.9 78.6 79.9 81.1 82.0 82.7 83.3 83.7 83.9
33 Dadra & Nagar Haveli 3.4 3.1 2.8 2.5 2.3 2.2 2.1 2.0 2.0 1.9 1.9 64.7 67.7 70.5 73.1 75.4 77.5 79.3 80.8 82.1 83.1 83.6
34 Daman & Diu
2.4 2.1 2.0 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 66.9 70.4 73.5 76.3 78.6 80.6 82.1 83.3 84.3 85.1 85.4
35 Lakshadweep
2.4 2.0 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 1.9 72.8 75.0 76.9 77.8 79.9 81.1 82.0 82.7 83.3 83.7 83.9
13
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2.6 Page 16 |
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POPULATION AGES 0-14 AND 65+ (PERCENT), INDIA AND STATES
SCENARIO B
Sl India/State/
No Union territory
INDIA
1 Uttar Pradesh
2 Maharashtra
3 Bihar
4 West Bengal
5 Andhra Pradesh
6 Tamil Nadu
7 Madhya Pradesh
8 Rajasthan
9 Karnataka
10 Gujarat
11 Orissa
12 Kerala
13 Jharkhand
14 Assam
15 Punjab
16 Haryana
17 Chhattisgarh
18 NCT of Delhi
19 Jammu & Kashmir
20 Uttarakhand
21 Himachal Pradesh
22 Tripura
23 Meghalaya
24 Manipur
25 Nagaland
26 Goa
27 Arunachal Pradesh
28 Puducherry
29 Chandigarh
30 Mizoram
31 Sikkim
32 A & N Islands
33 D & N Haveli
34 Daman & Diu
35 Lakshadweep
2001
2011
0-14 65+ 0-14 65+
34.3 4.8 30.6 5.2
39.3 4.5 37.1 4.3
30.9 5.4 27.0 6.0
40.7 4.3 37.6 4.3
31.9 4.7 26.4 5.4
31.1 4.8 26.1 5.7
26.8 5.7 22.4 7.2
37.1 4.5 34.2 4.4
38.8 4.3 35.8 4.2
30.7 5.0 26.5 5.6
32.3 4.4 27.9 5.3
32.2 5.3 28.0 5.6
25.8 7.0 21.8 8.8
38.1 3.6 34.6 4.3
36.6 3.8 31.7 3.9
30.3 6.0 25.4 6.4
34.7 4.9 30.2 4.8
35.4 4.5 32.7 4.9
32.5 3.3 25.7 3.8
33.9 4.4 27.9 4.9
35.0 5.0 30.0 5.5
29.9 6.2 25.5 6.3
31.7 5.1 25.3 5.3
41.6 2.9 34.8 3.2
31.8 4.6 24.7 5.6
35.1 3.1 30.7 3.8
24.7 5.2 22.0 6.9
39.8 2.4 32.9 3.4
27.0 5.4 23.9 6.4
29.0 3.3 24.8 4.0
34.6 3.8 28.1 4.8
33.6 3.5 26.8 4.3
29.0 3.2 23.6 4.9
35.3 2.3 33.3 2.9
27.3 3.2 26.3 3.6
34.2 3.7 27.8 5.5
2021
0-14 65+
27.6 6.2
33.9 4.7
24.0 7.1
35.0 4.7
22.9 7.0
22.8 7.3
20.3 9.4
30.7 4.9
32.7 4.8
23.5 7.2
24.3 6.9
24.8 6.7
19.5 11.6
30.4 5.4
28.5 4.8
22.2 7.8
26.0 5.6
29.1 5.7
23.2 5.1
24.7 6.3
26.1 6.5
22.8 7.6
22.4 6.9
28.7 4.1
22.0 7.7
25.6 5.7
20.1 9.3
27.4 4.7
21.5 8.1
21.8 6.4
23.8 6.6
23.7 5.9
20.9 7.9
30.7 3.3
23.4 4.1
24.7 7.5
2031
0-14 65+
24.9 8.0
30.4 5.6
21.3 9.4
32.4 5.9
20.6 9.6
20.3 9.8
18.1 12.9
27.4 6.1
29.5 5.9
20.9 9.6
21.6 9.3
22.0 8.7
17.1 15.8
26.9 7.0
25.4 7.0
19.3 10.4
22.8 7.3
25.8 7.1
20.4 8.1
21.5 8.4
22.8 8.3
19.9 10.0
20.1 9.8
24.7 6.0
19.8 11.1
21.4 8.3
18.2 12.3
24.2 6.8
19.6 11.3
19.8 9.7
21.1 9.5
21.2 8.6
18.7 12.1
29.2 4.5
21.8 6.0
21.8 9.3
2041
0-14 65+
22.6 10.3
26.9 7.0
19.4 12.6
28.9 6.9
18.6 12.8
18.5 13.1
16.9 17.4
24.4 7.7
26.4 7.5
19.3 12.7
19.7 12.1
20.0 11.4
15.7 20.6
23.4 9.0
22.7 9.4
17.7 13.9
20.6 9.8
23.0 8.8
18.4 11.9
19.0 11.5
20.4 11.1
18.4 13.5
18.3 13.9
21.7 8.3
17.6 15.7
19.9 12.1
17.4 16.7
21.5 9.3
18.6 15.1
18.2 14.0
18.8 13.5
19.2 12.6
17.3 17.3
27.2 6.9
20.5 10.8
20.0 12.0
2051
0-14 65+
20.7 13.1
23.9 9.0
18.0 16.1
26.0 8.4
17.6 16.3
17.4 16.9
15.9 22.1
22.0 9.8
23.9 9.6
17.9 16.1
18.2 15.3
18.6 14.4
14.7 25.1
20.7 11.8
20.9 11.9
16.5 17.9
18.9 13.1
2.9 11.0
17.5 15.9
17.7 15.6
18.6 15.2
17.1 17.6
17.3 18.6
19.6 11.5
16.6 20.8
17.6 17.2
16.8 20.2
19.7 12.3
17.8 18.5
17.0 19.1
17.4 18.1
18.1 17.4
16.4 22.0
25.5 8.7
19.4 16.1
18.8 15.3
2061
0-14 65+
19.2 16.1
21.4 12.0
17.0 19.3
23.2 11.3
16.8 20.0
16.5 20.5
15.2 25.4
20.2 12.5
21.7 12.3
17.2 19.1
17.3 18.5
17.5 17.7
14.0 28.1
18.7 15.5
19.2 15.4
15.7 21.3
17.8 16.3
19.2 14.0
16.5 20.1
16.5 19.8
17.2 19.5
16.4 21.0
16.5 22.7
18.2 16.0
16.0 24.7
16.6 21.0
16.5 21.2
18.4 16.7
17.4 19.9
16.4 22.2
16.5 22.1
17.2 21.2
15.9 24.6
24.0 9.9
18.9 16.8
17.9 19.1
2071
0-14 65+
18.1 18.6
19.6 15.2
16.4 21.5
21.1 14.2
16.3 22.3
16.1 22.7
14.9 26.7
18.8 15.6
20.1 15.1
16.6 21.1
16.7 21.0
16.8 20.5
13.8 29.3
17.3 19.5
18.0 18.3
15.6 23.1
17.2 18.9
17.9 17.5
16.3 22.1
16.1 22.0
16.5 22.5
16.2 22.8
16.1 24.2
17.2 19.6
15.5 25.7
16.0 23.7
16.3 21.8
17.5 20.1
17.1 20.9
16.0 24.0
16.0 24.3
16.8 22.8
15.8 25.2
22.3 12.0
18.5 18.3
17.4 20.7
2081
0-14 65+
17.2 21.0
18.2 18.6
16.0 23.4
19.5 16.9
16.0 23.7
15.8 24.4
14.5 28.2
17.7 18.5
18.8 17.8
16.2 23.0
16.3 23.0
16.2 22.8
13.5 30.8
16.3 22.8
17.1 20.9
15.4 24.6
16.8 20.8
16.9 20.6
16.5 23.4
15.8 24.1
16.0 24.6
15.9 24.5
15.8 25.2
16.8 21.8
15.4 26.3
15.4 26.0
16.0 22.9
16.8 22.0
16.8 21.9
15.8 25.1
15.7 25.3
16.4 24.1
15.6 26.0
20.9 13.9
18.9 18.7
17.0 22.0
2091
0-14 65+
16.5 23.0
17.1 21.6
15.7 24.7
18.1 19.9
15.7 25.0
15.5 25.6
14.2 29.2
16.9 21.1
17.7 20.4
15.9 24.8
16.0 24.4
15.8 24.6
13.4 31.5
15.7 25.5
16.4 23.3
15.4 25.3
16.5 22.1
16.3 23.1
16.5 24.4
15.5 25.8
15.6 26.1
15.7 25.4
15.6 26.3
16.5 23.4
15.2 27.5
15.4 26.2
15.7 23.6
16.4 23.6
16.6 22.6
15.6 25.9
15.5 26.3
16.1 25.4
15.4 26.6
19.8 16.2
18.8 18.9
16.7 23.0
2101
0-14 65+
16.1 24.7
16.4 24.0
15.5 25.7
17.1 22.3
15.6 25.8
15.3 26.5
13.9 30.0
16.3 23.2
16.9 22.4
15.7 25.4
15.9 25.5
15.5 25.9
13.3 32.0
15.2 27.3
15.9 24.9
15.4 26.0
16.3 23.2
15.8 25.0
16.3 24.6
15.4 26.5
15.4 27.2
15.6 26.1
15.4 27.0
16.2 24.6
15.1 27.8
15.2 27.2
15.5 24.3
16.0 24.8
16.3 23.4
15.5 26.6
15.4 26.9
15.9 26.2
15.3 27.0
18.8 18.2
18.6 19.2
16.5 23.7
14
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2.7 Page 17 |
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NET YEARLY MIGRATION (000’s), INDIA AND STATES, 2001-2006 TO 2096-2101
Sl India/State/
No Union territory
INDIA
1 Uttar Pradesh
2 Maharashtra
3 Bihar
4 West Bengal
5 Andhra Pradesh
6 Tamil Nadu
7 Madhya Pradesh
8 Rajasthan
9 Karnataka
10 Gujarat
11 Orissa
12 Kerala
13 Jharkhand
14 Assam
15 Punjab
16 Haryana
17 Chhattisgarh
18 NCT of Delhi
19 Jammu & Kashmir
20 Uttarakhand
21 Himachal Pradesh
22 Tripura
23 Meghalaya
24 Manipur
25 Nagaland
26 Goa
27 Arunachal Pradesh
28 Puducherry
29 Chandigarh
30 Mizoram
31 Sikkim
32 Andaman & Nicobar Islands
33 Dadra & Nagar Haveli
34 Daman & Diu
35 Lakshadweep
2001-
2006
-167.2
-301.0
184.0
-221.0
25.0
-26.7
-48.1
-2.7
-33.7
10.1
53.3
-26.5
-21.0
-14.4
-19.8
26.4
92.0
-13.2
134.0
-4.1
2.1
3.9
2.2
1.1
-3.3
-2.1
7.2
4.9
5.5
10.8
0.0
1.9
0.0
3.6
2.6
0.3
2011-
2016
-195.5
-316.0
190.0
-231.0
25.0
-27.4
-48.9
-2.8
-35.1
10.3
55.1
-27.1
-21.4
-15.0
-20.5
27.1
92.0
-13.7
129.0
-4.3
2.1
4.0
2.2
1.2
-3.4
-2.2
7.4
5.1
5.7
8.6
0.0
1.9
0.0
3.8
2.3
0.3
2021-
2026
-249.2
-336.0
198.0
-240.0
20.3
-28.1
-49.7
-3.0
-36.6
10.6
57.0
-27.7
-21.8
-15.6
-21.1
28.0
90.0
-14.2
108.0
-4.4
2.2
4.1
2.3
1.2
-3.5
-2.3
7.7
5.4
5.9
5.5
0.0
2.0
0.0
4.1
2.1
0.3
2031-
2036
-310.1
-353.0
204.0
-249.0
16.4
-28.7
-50.5
-3.1
-38.2
10.9
59.0
-28.5
-22.2
-16.3
-21.8
28.8
90.0
-14.6
75.0
-4.5
2.3
4.2
2.3
1.3
-3.5
-2.4
7.9
5.7
6.1
3.5
0.0
2.1
0.0
4.5
2.0
0.3
2041-
2046
-358.4
-371.0
211.0
-260.0
13.2
-29.5
-51.3
-3.2
-39.8
11.2
61.0
-29.1
-22.6
-17.0
-22.5
29.6
89.0
-15.1
56.0
-4.6
2.4
4.3
2.4
1.3
-3.7
-2.6
8.2
6.0
6.4
2.3
0.0
2.2
0.0
4.8
2.0
0.3
2051-
2056
-370.7
-374.0
210.0
-260.0
10.7
-29.3
-50.7
-3.2
-39.8
11.1
60.8
-28.9
-22.3
-17.0
-22.4
29.4
87.0
-15.1
52.0
-4.6
2.4
4.3
2.4
1.3
-3.7
-2.6
8.2
6.0
6.4
1.5
0.0
2.2
0.0
4.9
2.0
0.3
2061-
2066
-346.4
-350.0
195.0
-242.0
8.7
-27.3
-47.2
-3.0
-37.0
10.4
56.6
-26.9
-20.8
-15.8
-20.9
27.3
82.0
-14.0
50.0
-4.3
2.2
4.0
2.2
1.3
-3.4
-2.4
7.6
5.6
5.9
0.9
0.0
2.0
0.0
4.6
2.0
0.3
2071-
2076
-319.6
-315.0
177.0
-219.0
7.1
-24.6
-43.8
-2.7
-33.4
9.3
36.8
-24.3
-18.8
-14.2
-18.8
24.6
75.0
-12.7
50.0
-3.8
2.0
3.6
2.0
1.1
-3.1
-2.1
6.9
5.1
5.3
0.6
0.0
1.8
0.0
4.1
2.0
0.3
2081-
2086
-284.1
-283.0
159.0
-197.0
5.7
-22.2
-39.5
-2.4
-30.2
8.4
32.1
-21.9
-17.0
-12.8
-17.0
22.2
68.0
-11.4
50.0
-3.5
1.8
3.2
1.8
1.0
-2.8
-1.9
6.2
4.5
4.8
0.4
0.0
1.6
0.0
3.7
2.0
0.2
2091-
2096
-255.5
-257.0
144.0
-178.0
4.7
-20.0
-35.7
-2.2
-27.3
7.6
28.2
-19.7
-15.3
-11.6
-15.3
20.0
60.0
-10.3
50.0
-3.1
1.6
2.9
1.6
0.9
-2.5
-1.8
5.6
4.1
4.3
0.2
0.0
1.5
0.0
3.4
2.0
0.2
2096-
2101
-240.5
-243.0
136.0
-170.0
4.2
-19.0
-33.9
-2.1
-25.9
7.2
26.4
-18.8
-14.6
-11.0
-14.6
19.1
58.0
-9.8
50.0
-3.0
1.5
2.8
1.5
0.9
-2.4
-1.7
5.3
3.9
4.1
0.2
0.0
1.4
0.0
3.2
2.0
0.2
15
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2.9 Page 19 |
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For additional copies of this publication, free of charge, please contact the Population
Foundation of India at the address below.
Population Foundation of India
B-28, Qutab Institutional Area, Tara Crescent, New Delhi 110 016
Telephone: 91-11-42899770 Fax: 91-11-42899795 e-mail: popfound@sify.com
www.popfound.org
Population Reference Bureau
1875 Connecticut Ave., NW, Suite 520, Washington, DC 20009
Telephone: (202) 483-1100 Fax: (202) 328-3937 e-mail: popref@prb.org
www.prb.org
Printed in India at Ajanta Offset & Packagings Ltd., Delhi. August 2007.
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2.10 Page 20 |
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